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Location:Makkah

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ERP Functional Lead63370647494402110

ERP Functional Lead

AlBorg Diagnostics, a leading provider of diagnostic health services, is seeking an experienced ERP Functional Lead to join our team. With our commitment to leveraging technology and innovation, we are looking for a dedicated individual who can lead the implementation and maintenance of our ERP system. As the ERP Functional Lead, you will play a critical role in ensuring the successful integration of our ERP system across all departments and locations. You will collaborate with key stakeholders, including business process owners, IT teams, and external vendors, to gather requirements, design system configurations, and oversee testing and deployment phases. Your expertise in ERP implementation and functional knowledge will be essential in optimizing business processes and driving efficiency within the organization. Responsibilities Technical Expertise Configure, customize, and implement ERP software solutions. •Develop and maintain system integrations between the ERP and other business applications. •Provide technical support and troubleshooting for ERP-related issues. •Stay updated with the latest ERP technologies and industry best practices Managerial Skills •Lead technical aspects of ERP projects, ensuring technical deliverables are met. •Collaborate with ERP functional consultants, business analysts, and other stakeholders to understand and translate business requirements into technical specifications. •Develop technical documentation and training materials for end-users and IT staff. Human Relation Skills •Communicate effectively with stakeholders, including IT staff, management, and external vendors. •Foster a collaborative environment to ensure successful ERP implementation and support. •Negotiate with vendors and service providers to secure necessary resources and services. Complexity of Problems •Address and resolve complex technical issues related to ERP system performance, integration, and customization. •Develop strategies to mitigate risks and ensure system security and data integrity. •Solve operational challenges by designing and implementing robust ERP solutions. Creativity and Analytical Ability •Innovate and drive continuous improvement in ERP processes and systems. •Analyze system performance data to optimize and enhance ERP functionalities. •Implement technical solutions that improve system efficiency and user experience. Responsibility for Results •Ensure technical aspects of ERP projects are delivered on time, within scope, and within budget. •Achieve strategic objectives by aligning technical ERP solutions with business goals. •Report on the technical performance and progress of ERP projects to senior management. Degree of Autonomy •Exercise independent judgment in planning and executing technical ERP tasks. •Make decisions that have a significant impact on ERP system performance and organizational success. •Develop policies and procedures to ensure governance and compliance in ERP management. Impact on the Organization •Drive technological innovation that supports business growth and operational efficiency. •Enhance the organization’s competitive position through effective ERP technical management. •Support revenue growth and operational excellence through strategic ERP initiatives Requirements Bachelor's degree in computer science, information systems, or a related field. Minimum of 5 years of experience in ERP implementation and support, with a focus on functional expertise. Strong knowledge of ERP systems, preferably with experience in implementing and maintaining systems such as SAP, Oracle, or Microsoft Dynamics. Proven experience leading end-to-end ERP implementation projects, including requirement gathering, system configuration, testing, and training. Excellent analytical and problem-solving skills, with the ability to translate business requirements into scalable and efficient system solutions. Experience collaborating with cross-functional teams and managing stakeholders at various levels. Strong communication skills, both written and verbal, with the ability to effectively convey technical information to non-technical audiences. Ability to work independently and manage multiple priorities in a fast-paced environment. Relevant certifications in ERP systems, such as SAP Certified Application Associate or Oracle Certified Professional, are preferred but not required.

Jeddah Saudi Arabia

Negotiable Salary

Senior Data Analyst63360152667138111

Senior Data Analyst

We are looking for a passionate Senior Data Analyst. The successful candidate will turn data into information, information into insight and insight into business decisions. Data Analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data Analyst will develop queries, reports, dashboards, and troubleshoot data issue. They will also monitor performance and quality control plans to identify improvements. Data Analyst will assist business departments in interpreting information, reports and dashboards and respond to their requests/questions. In addition, Data Analyst will assist data scientists in different AI projects, data engineers in requirements related to data preparation/management/governance, and data quality assurance officers in data integrity and cleansing activities. Responsibilities Identify and acquire data from different data sources (production, warehouse, external sources) and organize the data in usable formats. Develop and implement data collection systems, pipelines, data analytics and other strategies that optimize statistical efficiency and quality. Interpret data, analyze results using statistical techniques, create visualizations of data and provide reports, and dashboards. Identify, analyze, and interpret trends or patterns in complex data sets. Use BI tools to analyze data, and extract useful business insights. Filter and “clean” data by reviewing reports, dashboards, and performance indicators to locate and correct problems Locate and define new process improvement opportunities. Supporting business departments and responding to their data-related requests and keeping track of these requests. Supporting data engineers in identifying and revising reporting requirements. Supporting initiatives for data integrity and normalization. Training end-users on new reports and dashboards. Work with management to prioritize business and information needs. Requirements Bachelor's degree in a quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.). At least 3 years of experience as a Data Analyst or Business Data Analyst. Proficiency in Python . Excellent in Algorithms and Data Mining techniques. Familiarity with database technology (design and implementation) and query language. Strong knowledge of and experience with BI tools (e.g. Looker, Tableau..etc) and reporting packages. Knowledge of statistics and experience using statistical packages and python libraries for analyzing and visualizing datasets (NumPy, SciPy, Tensorflow, Keras, Pandas, Sklearn, MatplotLib... etc). Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. Adept at queries, report writing and presenting findings. Strong organizational and project management skills. Good problem-solving skills. Excellent communication and presentation skills Other languages such as Shell Scripts, C++, .Net, Java, Matlab, R,...etc are preferred

Jeddah Saudi Arabia

Negotiable Salary

Senior Quality Engineer63370084193539112

Senior Quality Engineer

Salla, a leading technology company, is seeking a dedicated Senior Quality Engineer to join our team. As a Senior Quality Engineer, you will be responsible for ensuring the quality and reliability of our software products and services. You will collaborate with cross-functional teams to develop and execute test plans, identify and report software defects, and contribute to the continuous improvement of our testing processes. Responsibilities: Understanding, implementing, and updating the testing approach. Review requirements, specifications, and technical design documents to provide timely and meaningful feedback. Ensuring the appropriate testing tasks are scheduled during release and iteration planning. Actively collaborating with developers and business stakeholders to clarify requirements, especially in terms of testability, consistency, and completeness. Ability to remove roadblocks and escalate risks. Determine appropriate test approach to validate all functional changes and ensure current functionality. Participate at the project team level and coordinate the work of the quality engineering team. Ability to work in a fast-paced environment where team collaboration and personal pride in the quality of work are highly valued. Identifies the root cause of quality problems, and coordinates modifications or other corrective actions. Requirements 5+ years of progressive professional experience in Quality Control and Testing 3+ years of experience writing automated tests, including integration, Mobile, Web, and Performance. Highly proficient in writing clear, concise, and comprehensive test plans and test cases. Understanding of all the test types, test designs, test levels, and test methods and techniques. Good Experience in API testing using tools such as (Postman, Soap UI, and Katalon) Possess exceptional troubleshooting skills. Experience working in an Agile/Scrum development process. Experience in the e-commerce field would be a plus.

Jeddah Saudi Arabia

Negotiable Salary

Senior Data Scientist63370607162627113

Senior Data Scientist

We are looking for a Data Scientist to design and develop Machine Learning (ML) models in different domains to find patterns from wide-variety types and large amounts of datasets. You will use mainly Deep Learning techniques (and other ML techniques) to solve different problems in Recommendation Engines, Chatbots, Natural Language Processing (NLP) and other domains. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research. Your goal will be to help our company analyze trends to make better decisions. Responsibilities Analyze raw data: assessing quality, cleansing, preprocessing, structuring for downstream processing. Conduct research and development activities, data exploration and discovery using Data Science and Machine Learning (ML) practices. Develop, apply, test and implement Data Science and ML models for a wide variety of datasets gathered from different data sources such as Online market places, e-commerce platforms, social media, and web sources. Design and develop accurate and scalable ML models in different domains and applications, which include, but not limited to, Recommendation engines, Chatbots, NLP, text mining, text-based feature selection/representation, optimization and predictive modeling. Utilize a variety of tools and approaches to solve complex business objectives, from Recommendation Engines, Chatbots, Natural Language Processing (NLP), Machine Learning/ Deep Learning, Image Processing, Speech Processing, Rule-Based Learning and Knowledge Graphs. Design new service offerings and solutions in E-Commerce and different fields. Keep up to date with latest trends and technologies in the data science and ML fields. Work closely with Data Engineers in data related requests, and Data Quality Assurance Officers in data integrity issues. Work closely with Business Analysts and product development teams to understand and implement their requirements. Collaborate with big data and software developers to translate ideas, models and prototypes into full-fledged solutions. Work closely with cross-functional teams to identify challenges and problems and suggest potential AI solutions. Requirements Bachelor's degree in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.); graduate degree in Data Science or other quantitative field is preferred. At least 4 - 5 years' of experience as a data scientist (quantitative analytics and data modeling). Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms. Experience in ML applications and domains (Recommendation Engines, NLP, Language Models and Chatbots experience is preferred). Strong knowledge and hands-on experience with large language models (LLMs), including model selection, fine-tuning, deployment, and prompt engineering for real-world applications. Experience in Deep Learning algorithms and techniques. Proficiency in Python (other languages such as Shell Scripts, C++, .Net, Java, Matlab, R,...etc are preferred).- Experience in Python libraries (Tensorflow, Keras, Pandas, Sklearn). Excellent in Algorithms and Object-Oriented programming. Familiarity with database technology (design and implementation) and query language. Familiarity with Big Data frameworks and visualization tools (ElasticSearch, Cassandra, Hadoop, Spark) is preferred. Strong organizational and project management skills. Good problem-solving skills. Excellent communication and presentation skills Benefits Medical Health Insurance Performance Bonus Others

Jeddah Saudi Arabia

Negotiable Salary

Cyber Defense Center Analyst (Saudi Arabia)63360129118465114

Cyber Defense Center Analyst (Saudi Arabia)

A leading Talent Acquisition Company in Saudi Arabia is looking for a talented Cyber Defense Center Analyst to join our esteemed team in Saudi Arabia. In this critical role, you will play a key part in monitoring, analyzing, and responding to cybersecurity incidents within an operational environment. Your expertise will help safeguard our clients’ information systems, and you'll work closely with other cybersecurity professionals to develop and enhance incident response strategies. The Cyber Defense Center Analyst will be responsible for utilizing state-of-the-art security tools to detect, analyze, and mitigate potential threats and vulnerabilities. You will conduct thorough investigations into incidents, prepare reports, and collaborate with various stakeholders to improve overall security posture. Your analytical skills and attention to detail will be vital as you support the mission of ensuring information security and defending against cyber threats. Key Responsibilities Monitor security events from SIEM, tickets, email, and phone channels. Investigate and escalate incidents based on severity. Analyze cyber threat intelligence and emerging threats. Perform incident triage and provide remediation recommendations. Track and document cyber incidents. Support configuration and management of security monitoring tools (SIEM, NETFLOW, etc.). Collaborate with technical teams to enhance security systems and processes. Document security procedures, configurations, and incidents. Knowledge  Knowledge of cybersecurity considerations for database systems.  Knowledge in Threat Hunting and MITRE ATT&CK Methodology.  Knowledge of network traffic protocols, methods and management.  Knowledge of cyber threat intelligence sources and their respective capabilities. Skills  Skill in SIEM query languages to do basic filtering etc.  Skill in scripting – Python and PowerShell.  Skill in security tools – commercial and open-source.  Skill in safely and effectively conducting research using deep web.  Skill in defensive technologies – NGFW, AV, VPN, IPS, NETFLOW, DAM, WAF, Proxy, and Web Abilities  Ability to create signature rules such as Snort, Yara.  Ability to create Sigma detection rules.  Ability to determine whether CTI is reliable, valid and relevant. Cyber Security Expertise:  Security Concepts: In-depth understanding of network security architecture, defense-in-depth principles, and incident response. Requirements Bachelor's degree in Cybersecurity, Information Technology, or a related field. Strong knowledge of security concepts, technologies, and best practices. Experience in incident response, threat hunting, or security monitoring. 4+ years of experience in cybersecurity with 2+ year in SOC/SIEM operations. The CDC Analyst monitors security events from the various SOC entry channels (SIEM, Tickets, Email and Phone) based on the security event severity Knowledge of network security, incident response, and MITRE ATT&CK. Proficiency in SIEM, scripting (Python, PowerShell), and security tools. Knowledge of network and application security, firewalls, intrusion detection systems, and other security technologies. Ability to work effectively under pressure and prioritize multiple tasks. Relevant industry certifications (e.g. CySA+, CEH, eJPT, eCIR, eTHP, SOC-200) A commitment to continuous learning and staying current with the evolving cybersecurity landscape.

Jeddah Saudi Arabia

Negotiable Salary

Data Storage Analyst (Saudi Arabia)63360141348099115

Data Storage Analyst (Saudi Arabia)

Eram Talent is seeking a talented Data Storage Analyst to join our dynamic team in Saudi Arabia. The ideal candidate will be responsible for managing and optimizing data storage solutions to ensure maximum efficiency and security. This role will involve analyzing storage requirements, implementing solutions, and maintaining data integrity while collaborating with various departments to support their data needs. The Data Storage Analyst will play a crucial role in ensuring that our data storage architecture is robust, scalable, and aligned with industry best practices. Requirements Bachelor’s degree in Computer Science, Information Technology, or a related field. Proven experience in data storage technologies, including SAN, NAS, and cloud storage solutions. Primary experience with IBM storage platforms. Strong knowledge of data backup, restoration, and recovery processes. Experience in Storage, Backup and strong Linux skills. Experience with storage performance monitoring and capacity planning. Familiarity with data management best practices and compliance standards. Ability to analyze data storage requirements and provide recommendations for optimization. Strong problem-solving skills and attention to detail. Excellent communication and interpersonal skills. Relevant certifications (e.g., CompTIA Storage+, Certified Storage Networking Expert) are a plus.

Jeddah Saudi Arabia

Negotiable Salary

Senior System Administrator63360079537667116

Senior System Administrator

Key Responsibilities: · Server Management Configure, manage, and maintain virtual machines, Nutanix and VM ware clusters to ensure high availability and reliability. · Install, configure, maintain, and troubleshoot Linux systems (Oracle Linux, Ubuntu). · Monitor server performance and implement necessary optimizations · Perform regular system updates, patches, and backups. · Manage Enterprise SQL Server environments, ensuring high availability and disaster recovery · Deploy, manage, and monitor Azure cloud services and resources · Ensure the security, scalability, and cost-efficiency of cloud infrastructure · Implement and manage Azure backup and disaster recovery solutions. · Develop and maintain shell scripts to automate system administration tasks · Implement infrastructure as code using tools like PowerShell, Azure · Automate deployment and configuration processes to improve efficiency and reduce manual effort. · Conduct regular security audits and vulnerability assessments. · Ensure compliance with Company standards and regulations. · Generate and analyze reports on system performance, security, and usage. · Proactively identify and address potential issues before they impact users. · Configure and manage security protocols such as SSL/TLS, HTTPS, Certificates, SSO, and IAM. · Configure and support LAN, WAN, DNS and internet systems. · Set up and maintain VPN connections, including IPSec and PPTP. · Provide Level 2 and 3 support, including incident handling, troubleshooting, and root cause analysis for critical events · Monitor server KPIs (storage, CPU, and Memory) to maintain optimal operational health · Manage local users and groups, files, and permissions, and system services. · Deliver quality reports regarding infrastructure and operations. · Managing backup technologies and disaster recovery planning and procedures. Requirements: · Bachelor’s degree in computer science, Information Technology, or a related field · Ability to Organize (Set priorities, develop a work schedule, monitor progress towards goals, and track details and information) Proven experience as a System Administrator with expertise in virtualization, Clustering and High Availability. · Strong knowledge of Windows Server operating systems and Active Directory. · Proficiency in shell scripting languages (e.g., PowerShell, Bash) · Ability to travel to corporate branches. · Excellent communication and collaboration abilities. · 5+ years of experience as a system Administrator. · Certified Microsoft System Administrator (MSCA)

Jeddah Saudi Arabia

Negotiable Salary

Senior/Staff Analytics Engineer63360111248003117

Senior/Staff Analytics Engineer

We are looking for a Senior Analytics Engineer to join our growing Data team. This role sits at the intersection of data engineering and data analysis, enabling high-quality data models, and tools to empower teams across the company to make data-informed decisions. You’ll work closely with data analysts, product managers, engineers, and business leaders to transform raw data into clean, reliable, and well-documented datasets. Responsibilities Own the design, development, and maintenance of our data models and transformation pipelines Collaborate with cross-functional stakeholders to understand data needs and build scalable solutions Ensure data quality and consistency through rigorous testing, validation, and monitoring practices Proactively spot and fix data issues Maintain and document the data warehouse structure, data dictionary, and lineage Define and enforce data modeling best practices Partner with analytics and business teams to optimize self-serve access to reliable metrics and insights Improve developer experience across the data stack by automating workflows and simplifying data discovery Requirements 4+ years of experience in analytics engineering, data engineering, or data modelling Expertise in SQL and modern data transformation tools (e.g., dbt) with a proven ability to write clean, maintainable code Strong understanding of dimensional data modeling and data warehouse design Familiarity with CI/CD, version control (e.g., Git), and testing practices in analytics engineering Hands-on experience with modern data stacks (e.g., BigQuery, Airflow, Spark, Looker, Metabase) Excellent communication skills and a track record of collaborating effectively across technical and non-technical teams Proficiency working in Arabic is a plus Experience in ecommerce or fintech Knowledge of advanced analytics techniques, including machine learning, predictive modeling or AI Experience working in the GCC

Jeddah Saudi Arabia

Negotiable Salary

Senior Microsoft Dynamics 365 Consultant (Supply Chain & Finance)63360067800963118

Senior Microsoft Dynamics 365 Consultant (Supply Chain & Finance)

Job Description: We are seeking a highly experienced Senior Microsoft Dynamics 365 Consultant with a strong background in supply chain and finance. The ideal candidate will have over 10 years of experience in implementing and managing Microsoft Dynamics 365 solutions, with a focus on optimizing business processes and enhancing operational efficiency. Experience in healthcare projects is highly desirable. Key Responsibilities: Implementation & Configuration: Lead the implementation and configuration of Microsoft Dynamics 365 solutions for supply chain and finance modules. Business Analysis: Conduct thorough business analysis to understand client requirements and translate them into effective Dynamics 365 solutions. Customization & Integration: Customize Dynamics 365 applications to meet specific business needs and integrate with other systems and third-party applications. Project Management: Manage end-to-end project lifecycles, ensuring timely delivery and adherence to budget and quality standards. Training & Support: Provide training and support to end-users, ensuring they are proficient in using Dynamics 365 applications. Continuous Improvement: Identify opportunities for process improvements and system enhancements to maximize the value of Dynamics 365 solutions. Stakeholder Collaboration: Collaborate with stakeholders, including business leaders, IT teams, and external partners, to ensure successful project outcomes. Documentation: Maintain comprehensive documentation of system configurations, customizations, and project progress. Qualifications: Experience: Minimum of 10 years of experience with Microsoft Dynamics 365, specifically in supply chain and finance. Experience in healthcare projects is highly desirable. Technical Skills: Proficiency in configuring and customizing Dynamics 365 applications, with strong knowledge of supply chain and finance modules. Analytical Skills: Excellent analytical and problem-solving skills, with the ability to translate business requirements into technical solutions. Project Management: Proven experience in managing large-scale Dynamics 365 implementation projects. Communication: Strong communication and interpersonal skills, with the ability to effectively collaborate with diverse teams and stakeholders. Certifications: Relevant Microsoft certifications (e.g., Microsoft Certified: Dynamics 365 Supply Chain Management Functional Consultant Associate) are highly desirable. Preferred Skills: Experience with Microsoft Power Platform and Azure DevOps. Knowledge of industry best practices and emerging trends in supply chain and finance. Ability to mentor and guide junior consultants.

Jeddah Saudi Arabia

Negotiable Salary

Senior Data Scientist ( 3 months contractual role)63370023997059119

Senior Data Scientist ( 3 months contractual role)

Job Brief: We are seeking a highly skilled Data Scientist to join our dynamic team. The ideal candidate will have a strong background in data analysis, machine learning, and statistical modeling. You will be responsible for analyzing large datasets to uncover trends and insights, building predictive models, and contributing to data-driven decision-making processes. Duties and Responsibilities: Lead the development and execution of data science projects, including problem formulation, data collection, analysis, modeling, and deployment of machine learning models. Collaborate with cross-functional teams to identify business opportunities and translate them into data science projects. Develop and implement machine learning algorithms and statistical models to solve complex business problems. Perform exploratory data analysis to gain insights and identify patterns in large and complex datasets. Work with data engineers to build robust and scalable data pipelines. Evaluate and validate models using appropriate performance metrics and statistical techniques. Present findings and insights to stakeholders in a clear and concise manner. Stay up-to-date with the latest advancements and best practices in data science and machine learning. Mentor and guide more junior data scientists in the team. Requirements Master's or PhD in Computer Science, Statistics, Mathematics, or a related field. Minimum of 5 years of industry experience as a data scientist. Strong knowledge and experience in machine learning, statistical modeling, and data mining. Proficiency in Python or R for data analysis and modeling. Experience with big data technologies such as Hadoop, Spark, or SQL. Experience with deep learning frameworks such as TensorFlow or PyTorch is a plus. Strong problem-solving and critical-thinking skills. Excellent communication and presentation skills. Ability to work effectively in cross-functional teams. Strong attention to detail and ability to work on multiple projects simultaneously.

Jeddah Saudi Arabia

Negotiable Salary

Senior Data Engineer633699153840651110

Senior Data Engineer

We are seeking a skilled Senior Data Engineer with deep expertise in ClickHouse and streaming data, and a passion for building scalable real-time analytics solutions. In this role, you will design, develop, and optimize our data pipelines and analytics infrastructure, empowering our teams to harness real-time insights that enhance customer experience and drive business growth. Key Responsibilities ● Design, implement, maintain and document highly scalable data pipelines for real-time and batch processing. ● Build and optimize data systems to support accurate, low-latency analytics and reporting use cases. ● Develop and maintain solutions for streaming and serverless data processing. ● Collaborate with cross-functional teams to implement and support end-to-end analytics workflows. ● Ensure data quality, reliability, and performance across the platform. ● Monitor, troubleshoot, and optimize data infrastructure to maintain high availability. ● Mentor junior engineers and contribute to the continuous improvement of engineering practices. Requirements ● 5+ years of experience in data engineering or related fields. ● Strong expertise in ClickHouse: experience in designing schemas and jobs, optimizing data ingestion as well as queries, managing clusters, etc. ● Proven experience in real-time data processing and enrichment using tools like Apache Kafka, Apache Flink, Apache Spark Streaming, Serverless technologies like AWS Lambda, GCP Functions, etc. ● Deep understanding of Distributed systems architecture and design, with a focus on scalability and resilience, especially in relation to data processing ● Proficiency in programming languages like Python, or Java ● Hands-on experience with cloud platforms (e.g., AWS, GCP, or Azure). ● Familiarity with containerization and orchestration tools such as Docker and Kubernetes. ● Strong problem-solving skills and ability to work in a fast-paced environment. ● Excellent communication and collaboration skills, with a demonstrated ability to work effectively as part of a team. Preferred Qualifications ● Experience in the e-commerce industry or similar high-traffic, data-intensive environments would be a big plus ● Knowledge of ETL/ELT tools like Airflow, dbt, or equivalent ● Familiarity with monitoring and observability tools for data systems (e.g., Prometheus, Grafana)

Makkah Saudi Arabia

Negotiable Salary

HIS Consultant633599815516171111

Job Title: Health Information System Consultant Location: Saudi Arabia Job Summary: The Health Information System (HIS) Consultant will be responsible for the implementation, integration, and optimization of health information systems within healthcare organizations. This role requires ensuring compliance with Saudi Arabian regulations and standards, including those set by the Saudi Central Board for Accreditation of Healthcare Institutions (CBAHI) and the Ministry of Health (MOH). Key Responsibilities: System Implementation and Integration: Lead the deployment and integration of HIS, ensuring seamless interoperability with existing systems. Collaborate with IT and clinical staff to customize and configure systems according to organizational needs. Ensure data migration and system interfaces are executed accurately and efficiently. Regulatory Compliance: Ensure HIS complies with local regulations, including CBAHI and MOH standards. Conduct regular audits and assessments to maintain compliance and address any gaps. Stay updated on changes in healthcare regulations and standards in Saudi Arabia. Data Management and Security: Oversee the management of health information data, ensuring its quality, accuracy, and security. Implement data protection measures in line with Saudi data privacy laws. Develop and enforce policies for data access, storage, and sharing. Training and Support: Provide training to healthcare staff on the use of HIS. Offer ongoing support and troubleshooting for system users. Develop user manuals and training materials. Project Management: Manage HIS projects from initiation to completion, ensuring timely delivery within budget. Coordinate with vendors, stakeholders, and internal teams. Prepare project reports and documentation. Quality Improvement: Identify opportunities for system enhancements and process improvements. Implement best practices for HIS usage and data management. Monitor system performance and user feedback to drive continuous improvement. Qualifications: Bachelor's degree in Health Information Management, Health Informatics, Computer Science, or a related field. Certification from the Saudi Commission for Health Specialties (SCHS) as a Health Information Specialist or equivalent. Minimum of 3-5 years of experience in health information systems implementation and management. Strong knowledge of Saudi healthcare regulations and standards. Excellent project management and organizational skills. Proficiency in Arabic and English. Skills: Strong analytical and problem-solving abilities. Excellent communication and interpersonal skills. Ability to work collaboratively with diverse teams. Proficiency in HIS software and tools. Knowledge of data security and privacy practices.

Jeddah Saudi Arabia

Negotiable Salary

IT Specialist633600037274911112

Roles and responsibilities: · Provide technical support and troubleshooting for IT-related issues, including hardware, software, and networking problems · Manage and maintain network infrastructure, including routers, switches, and servers. · Configure and troubleshoot network devices and systems. · Implement and maintain IT security measures. · Assist in the deployment and maintenance of IT systems and applications. · Provide technical support for Laboratory-related software and systems. · Install, configure, and maintain computer hardware, operating systems, and applications. · Monitor and maintain computer systems and networks to ensure optimal performance and security. · Develop and maintain IT documentation, including user manuals and operational procedures · Stay updated on emerging technologies and provide recommendations for improvements in IT processes and systems · Collaborate with other departments to understand their IT needs and provide tailored solutions. · Handle offline & online sharing folders internally offline local area network & Microsoft knowledge. · Handle installation/printer sharing online and VPN configuration for connecting one branch to another with same IP racks setup. · Install cable/crimping, cable tracking and tracing, user remote access/CCTV installation. · Manage NVR configuration, IP telephone configuration and setup biometric configuration and support. · Managing requests through services desk plus sosyetm. Requirements: · Bachelor’s degree in computer science, Information Technology, or a related field. · Minimum of 2 years’ experience in IT support. · Certified CCNA. · Strong knowledge of network protocols (TCP/IP, DNS, DHCP). · Proficiency in troubleshooting hardware and software issues. · Excellent communication and problem-solving skills. · Ability to work independently and as part of a team, ability to travel. · Fluency in English and Arabic.

Jeddah Saudi Arabia

Negotiable Salary

Data Scientist633698379388191113

We are looking for a Data Scientist to design and develop Machine Learning (ML) models in different domains to find patterns from wide-variety types and large amounts of datasets. You will use mainly Deep Learning techniques (and other ML techniques) to solve different problems in Recommendation Engines, Chatbots, Natural Language Processing (NLP) and other domains. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research. Your goal will be to help our company analyze trends to make better decisions. Responsibilities Analyze raw data: assessing quality, cleansing, preprocessing, structuring for downstream processing. Conduct research and development activities, data exploration and discovery using Data Science and Machine Learning (ML) practices. Develop, apply, test and implement Data Science and ML models for a wide variety of datasets gathered from different data sources such as Online market places, e-commerce platforms, social media, and web sources. Design and develop accurate and scalable ML models in different domains and applications, which include, but not limited to, Recommendation engines, Chatbots, NLP, text mining, text-based feature selection/representation, optimization and predictive modeling. Utilize a variety of tools and approaches to solve complex business objectives, from Recommendation Engines, Chatbots, Natural Language Processing (NLP), Machine Learning/ Deep Learning, Image Processing, Speech Processing, Rule-Based Learning and Knowledge Graphs. Design new service offerings and solutions in E-Commerce and different fields. Keep up to date with latest trends and technologies in the data science and ML fields. Work closely with Data Engineers in data related requests, and Data Quality Assurance Officers in data integrity issues. Work closely with Business Analysts and product development teams to understand and implement their requirements. Collaborate with big data and software developers to translate ideas, models and prototypes into full-fledged solutions. Work closely with cross-functional teams to identify challenges and problems and suggest potential AI solutions. Requirements Bachelor's degree in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.); graduate degree in Data Science or other quantitative field is preferred. At least 2 - 4 years' of experience as a data scientist (quantitative analytics and data modeling). Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms. Experience in ML applications and domains (Recommendation Engines, NLP, Language Models and Chatbots experience is preferred). Experience in Deep Learning algorithms and techniques. Proficiency in Python (other languages such as Shell Scripts, C++, .Net, Java, Matlab, R,...etc are preferred).- Experience in Python libraries (Tensorflow, Keras, Pandas, Sklearn). Excellent in Algorithms and Object-Oriented programming. Familiarity with database technology (design and implementation) and query language. Familiarity with Big Data frameworks and visualization tools (ElasticSearch, Cassandra, Hadoop, Spark) is preferred. Strong organizational and project management skills. Good problem-solving skills. Excellent communication and presentation skills Benefits Medical Health Insurance Performance Bonus Others

Jeddah Saudi Arabia

Negotiable Salary

Senior Manager, Data Analytics633698624097291114

Senior Manager, Data Analytics

We are seeking a Senior Manager of Data Analytics with deep experience in data science, data warehousing and BI. This role will lead a team of data analysts and analytics engineers, shaping the direction of our data strategy and ensuring that business decisions are powered by reliable, scalable data infrastructure. You’ll be instrumental in driving data maturity across the company — balancing quick business wins with long-term architectural investments. Responsibilities Lead and mentor a cross-functional team of analytics engineers, data engineers and data scientist Oversee the development of the data warehouse and transformation layer (e.g., dbt) Define the vision for how data is structured, accessed, and used across the organization, ensuring alignment with business objectives Partner with product, engineering, and business stakeholders to deliver impactful insights and scalable data products Own key initiatives such as self-serve analytics, metric standardization, and data quality frameworks Establish best practices for data governance, reporting, and visualization Drive the adoption of self-service analytics tools to democratize data access and empower stakeholders across the organization Build operational excellence within the data team through process improvements, best practices, and training Contribute to hiring and team growth by attracting and developing top data analytics talent Requirements 7+ years of experience in data science, analytics engineering, BI or related roles, including 2+ years of leadership Strong command of SQL, data modeling, and data architecture Experience building and managing data platforms using dbt, modern warehouses (Snowflake, BigQuery, etc.), and visualization tools Proven track record of delivering high-quality analytical work in fast-paced environments Ability to balance strategic thinking with technical execution Strong communication and stakeholder management skills, with the ability to translate technical complexity into business value Proficiency working in Arabic is a plus Experience in ecommerce or fintech Knowledge of advanced analytics techniques, including machine learning, predictive modeling or AI Experience working in the GCC

Jeddah Saudi Arabia

Negotiable Salary

Senior Data Warehouse & Analytics Consultant633699977921311115

Senior Data Warehouse & Analytics Consultant

Job Description: We are looking for a highly skilled Senior Data Warehouse & Analytics Consultant with extensive experience in data warehousing, data analytics, and Power BI. The ideal candidate will have a proven track record of designing, implementing, and managing data solutions that drive business insights and decision-making. Key Responsibilities: Data Warehouse Design & Management: Lead the design, implementation, and management of data warehouses, ensuring data integrity, quality, and security. ETL Processes: Develop and manage ETL (Extract, Transform, Load) processes to ensure efficient data flow from various sources into the data warehouse. Data Analytics: Perform advanced data analysis to identify trends, patterns, and insights that support business objectives. Power BI Development: Design and develop interactive dashboards and reports using Power BI to visualize data and provide actionable insights. Collaboration: Work closely with business stakeholders, data analysts, and IT teams to understand data requirements and deliver effective solutions. Performance Tuning: Optimize data warehouse performance and troubleshoot any issues to ensure smooth operation. Documentation: Maintain comprehensive documentation of data warehouse architecture, ETL processes, and analytics solutions. Training & Support: Provide training and support to end-users on data analytics tools and best practices. Qualifications: Experience: Minimum of 10 years of experience in data warehousing, data analytics, and Power BI. Technical Skills: Proficiency in SQL, ETL tools, data modeling, and data warehousing concepts. Strong expertise in Power BI for data visualization. Analytical Skills: Excellent analytical and problem-solving skills, with the ability to translate complex data into meaningful insights. Project Management: Proven experience in managing large-scale data projects from inception to completion. Communication: Strong communication and interpersonal skills, with the ability to effectively collaborate with diverse teams and stakeholders. Certifications: Relevant certifications in data warehousing, data analytics, and Power BI are highly desirable. Preferred Skills: Experience with cloud-based data platforms such as Azure, AWS, or Google Cloud. Knowledge of big data technologies and tools (e.g., Hadoop, Spark). Familiarity with other BI tools like Tableau or QlikView. Ability to mentor and guide junior data professionals.

Jeddah Saudi Arabia

Negotiable Salary

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